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Optical coherence tomography angiography offers rapid non-invasive visualization of retinal microvasculature. However, image clarity depends heavily on anterior segment optical quality. Therefore, when ocular media degrade the incoming light beam, quantitative vascular measurements shift noticeably. Recent findings demonstrate that corneal higher-order aberrations influence macular perfusion parameters even in completely healthy eyes. Consequently, eye care specialists must understand these optical interactions before interpreting diagnostic scans.
Ophthalmic imaging modalities rely on an uninterrupted optical pathway to generate high-resolution scans. In clinical practice, sphere and cylinder represent common lower-order optical imperfections. Conversely, corneal higher-order aberrations describe complex wavefront irregularities that standard spherocylindrical lenses cannot correct. These optical distortions include trefoil, coma, and spherical aberration across the anterior corneal surface.
Corneal topography systems objectively measure these wavefront aberrations over defined pupillary apertures. Furthermore, ocular surface irregularities and tear film instability can amplify these optical distortions. When wavefront aberrations increase, they scatter the illuminating laser beam significantly. As a result, the optical coherence beam experiences lateral defocus before reaching the neurosensory retina.
Consequently, this optical degradation alters the backscattered signal captured by the imaging system. Clinicians frequently assume that clear ocular media guarantee artifact-free scans. Nevertheless, subtle variations in corneal wavefront profiles exist among asymptomatic patients. Therefore, evaluating anterior corneal aberrations provides essential context for interpreting macular angiography. In addition, recognizing these optical flaws prevents diagnostic confusion during routine clinical evaluations.
Macular optical coherence tomography angiography accurately resolves superficial and deep capillary networks. In a recent cross-sectional investigation of healthy eyes, researchers identified significant associations between corneal aberrations and vessel density metrics. Specifically, elevated total higher-order aberrations correlated inversely with whole-image superficial capillary plexus vessel density.
Moreover, the study revealed an even stronger negative correlation within the deep capillary plexus. The multivariable regression analysis demonstrated that higher corneal aberrations significantly reduced measured deep capillary vessel density. This pronounced vulnerability in the deep plexus stems from its fine microvascular anatomy. Because deep capillaries are smaller and tightly packed, they remain particularly sensitive to optical signal attenuation.
In contrast, anterior corneal aberrations showed weaker associations with foveal avascular zone parameters. Metrics such as foveal avascular zone area, perimeter, and circularity remained relatively stable across variable aberration levels. Thus, geometric delineation of the central avascular area exhibits greater optical resilience than delicate capillary density quantification. However, clinicians must recognize that artificially reduced vessel density can mimic capillary dropout. Consequently, an eye with high corneal aberrations might falsely suggest macular ischemia.
Image quality in optical coherence tomography angiography hinges directly on scan signal strength. Previous studies have demonstrated that low signal strength scores falsely depress calculated vessel density values. To elucidate this mechanism, investigators conducted exploratory mediation analysis on the gathered cohort data. Interestingly, the statistical model partitioned the total effect of corneal aberrations into distinct mediated and non-mediated pathways.
The analysis confirmed that signal strength reduction accounts for a substantial proportion of vessel density decline. Specifically, wavefront aberrations broaden the focal point and diminish optical signal transmission to the retinal detectors. Consequently, the lower signal strength leads automated segmentation software to miss low-contrast capillary loops. As a result, the device calculates an artificially low vessel density across the macula.
However, the study also revealed a noticeable non-mediated direct effect. Even when algorithms adjust for signal strength, higher-order aberrations degrade transverse spatial resolution. This spatial blurring reduces the contrast threshold needed to identify discrete capillary walls. Furthermore, tear film break-up time and axial length interact with these optical parameters. Therefore, signal strength alone does not completely explain the quantitative inaccuracies caused by corneal aberrations.
Quantitative retinal angiography has become an indispensable tool in monitoring progressive microvascular disorders. For example, clinicians routinely track macular vessel density to stage diabetic retinopathy and identify macular telangiectasia. Similarly, retinal specialists use these quantitative metrics to detect early subclinical microvascular changes in hypertensive chorioretinopathy.
However, confusing optical artifacts with genuine microvascular pathology poses serious diagnostic hazards. An eye with elevated corneal coma or spherical aberration may exhibit reduced capillary density without any vascular occlusion. If clinicians overlook corneal wavefront errors, they might misinterpret optical defocus as advancing diabetic capillary ischemia. Consequently, patients might receive unnecessary follow-up testing or experience unwarranted anxiety regarding disease progression.
Moreover, corneal higher-order aberrations increase significantly after refractive corneal surgery or cataract extraction. In addition, patients suffering from keratoconus or severe ocular surface disease frequently harbor pronounced wavefront aberrations. Therefore, when ophthalmologists interpret retinal angiography in these clinical populations, they must exercise heightened vigilance. Thus, multimodality confirmation prevents premature therapeutic decisions based solely on skewed vessel density measurements.
To ensure reliable diagnostic interpretation, clinical practices must implement systematic imaging protocols. First, ophthalmic technicians must optimize the ocular surface before acquiring optical coherence tomography scans. Because tear film irregularities directly elevate anterior corneal aberrations, instilling preservative-free lubricating drops immediately improves optical clarity. Furthermore, technicians should evaluate tear break-up time during pre-imaging screening.
Second, device operators must actively monitor signal strength indices during image acquisition. When signal strength values fall below manufacturer thresholds, operators should immediately discard the scan and re-acquire it. Additionally, modern angiography software should incorporate adaptive wavefront sensing or automated aberration compensation algorithms. Integrating real-time wavefront correction could neutralize the distorting effects of corneal aberrations before scanning the retina.
Finally, clinicians must review en face structural slabs alongside angiographic flow maps. When focal capillary dropouts coincide with areas of optical shadowing or blur, practitioners must recognize the artifact. In longitudinal clinical trials, investigators should record baseline corneal topography and wavefront parameters. Therefore, researchers can adjust statistical models for corneal optical errors when assessing therapeutic outcomes. Ultimately, combining surface optimization with intelligent software corrections guarantees genuine microvascular monitoring.
Corneal higher-order aberrations distort and scatter the incoming optical laser beam during scanning. This optical aberration degrades lateral spatial resolution and attenuates the reflected signal strength reaching the device sensor. Consequently, the automated segmentation software struggles to discern fine, low-contrast microvessels, particularly in the deep capillary plexus. As a result, the imaging system calculates an artificially lower macular vessel density, which can mimic genuine ischemic microvascular disease.
The deep capillary plexus contains thinner, tightly packed capillaries that exhibit lower baseline optical reflectivity. Furthermore, scanning light must traverse the overlying neurosensory retinal layers, including the superficial vascular network, before reaching the deep plexus. Optical aberrations cause beam defocus, which reduces deep tissue contrast significantly. Consequently, slight reductions in signal strength cause disproportionate microvascular signal dropout in the deep plexus compared to the more robust superficial vessels.
Clinicians should routinely optimize ocular surface hydration using artificial tears before performing optical coherence tomography angiography. Moreover, operators must verify that the signal strength index meets strict manufacturer quality cutoffs before accepting scans. Eye care specialists should always correlate quantitative vessel density data with structural optical coherence tomography b-scans, fundus examination, and patient history. Finally, recognizing preexisting corneal pathologies or prior refractive surgeries prevents misdiagnosing optical artifacts as progressive retinal ischemia.
Disclaimer: This content is for informational and educational purposes only... Refer to the latest local and national guidelines for clinical practice.
References
Başkan B et al. Anterior Corneal Higher-Order Aberrations and Quantitative Macular OCT Angiography Metrics in Healthy Eyes: A Cross-Sectional Study. Semin Ophthalmol. 2026 Oct 12. doi: 10.1080/08820538.2026.2747762. PMID: 42862170.
Son HS, Labuz G, Blöck L, et al. Normative Data of Higher-Order Aberrations in Healthy Caucasian Eyes and Their Correlation with Age, Gender, and Refractive Errors. Clin Ophthalmol. 2026;20:1075-1085.
Al-Dolat W, Abu-Ameerh M, Al-Fraihat A, et al. Optical Coherence Tomography Angiography in Healthy Adult Subjects: Normative Values, Frequency, and Impact of Artifacts. J Ophthalmol. 2021;2021:6658934.

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